analytics specialist

State of Ohio

<p></p><div><div><div><b>Ohio Department of Public Safety &ndash; Ohio State Highway Patrol</b></div><div><b>
Report in Location:</b> 1970 W Broad Street, Columbus 43223</div><div></div><div><b><br>
Perks of Working for the Ohio Department of Public Safety</b></div><ul><li>
Multiple pay increases over the first years of service!</li><li>
Free Parking!</li><li>
Free Gym Access &amp; Walking Path!</li><li>
Daycare On-site!</li><li>
Cafeteria On-site!</li></ul><p></p><div><b><br>
What you'll Do as a Data Analytics Specialist</b></div><ul><li>
Integrates data from multiple sources &amp; systems, applies statistical analysis &amp; data visualization techniques to identify data trends &amp; relationships &amp; recommends actionable business solutions impacting the agency.</li><li>
Researches complex data requests &amp; collaborates with subject matter experts to create dashboards in order to help Ohio State Highway Patrol (OSHP) management identify new data trends &amp; recommend new solutions.</li><li>
Maintains, creates &amp; regularly updates all current internal &amp; public facing dashboards for OSHP.</li><li>
Utilizes Tableau Prep software to combine &amp; clean all data sources &amp; create data flows that are used in Tableau Desktop.</li><li>
Extracts data from multiple sources &amp; databases.</li></ul><p></p><b><br>
Why Work for the State of Ohio</b><p>
At the State of Ohio, we take care of the team that cares for Ohioans. We provide a variety of quality, competitive benefits to eligible full-time and part-time employees*. For a list of all the State of Ohio Benefits, visit our Total Rewards website! Our benefits package includes:</p>
<ul>
<li>Medical Coverage</li>
<li>Free Dental, Vision and Basic Life Insurance premiums after completion of eligibility period</li>
<li>Paid time off, including vacation, personal, sick leave and 11 paid holidays per year</li>
<li>Childbirth, Adoption, and Foster Care leave</li>
<li>Education and Development Opportunities (Employee Development Funds, Public Service Loan Forgiveness, and more)</li>
<li>Public Retirement Systems (such as OPERS, STRS, SERS, and HPRS) &amp; Optional Deferred Compensation (Ohio Deferred Compensation)</li>
</ul>
<ul><li>Benefits eligibility is dependent on a number of factors. The Agency Contact listed above will be able to provide specific benefits information for this position.</li></ul><b>
Qualifications</b><div><b>
Option 1</b></div><div>
48 mos. exp. in data analytics or statistical analysis or research methods.</div><div></div><div><b><br>
Option 2</b><br>
<ul><li>Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field;</li></ul></div><div><b>
AND </b>30 mos. exp. in data analytics, statistical analysis, or research methods.</div><div></div><div><b><br>
Option 3</b><br>
<ul><li>Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field;</li></ul></div><div><b>
AND</b> 24 mos. exp. in data analytics, statistical analysis, or research methods.</div><div></div><div><b><br>
Option 4</b><br>
<ul><li>Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field;</li></ul></div><div><b>
AND</b> 12 mos. exp. in data analytics, statistical analysis, or research methods.</div><div></div><div><b><br>
Option 5</b><br>
<ul><li>Or 36 mos. exp as a Data Analytics Associate, 66930.</li></ul><br>
<ul><li>Or equivalent of Minimum Class Qualifications For Employment noted above.</li></ul></div><div></div><div><b><br>
Helpful Tips for Applying:</b></div><div><b>
1. </b><b><i>Be detailed when describing your current/previous work duties</i></b>. The more the better!! Don't just write &quot;see attached resume&quot;.</div><div><b>
2.</b><b><i> Tailor your application for each position you apply for.</i></b> You should clearly describe how you meet the minimum qualifications outlined in this job posting.</div><div><b>
3.</b><b><i> Respond to all questions asked.</i></b> If you do not have the education/training/experience that is being asked, select either &quot;No&quot; or &quot;N/A&quot;.<br>
<br>
<b>Job Skills:</b> Data Analytics</div><div></div><b><br>
Supplemental Information</b><p><b>
TRAINING AND DEVELOPMENT REQUIRED TO REMAIN IN THE CLASSIFICATION AFTER EMPLOYMENT</b><br>
All state-offered &amp; agency-directed technical training assigned to data analytics specialists continuing education credits to be completed by classification requirements annually, as directed.</p><p></p><div><b><br>
Background Check Information</b></div><ul><li>
A BCI and FBI fingerprint check, a background check, including a polygraph examination, may be required on all selected applicants.</li><li>
A comparative analysis and/or drug-test may be a requirement of the hiring process.</li></ul><p></p><p><i><br>
To request a disability accommodation, please email </i><i>HRRequestADA@dps.ohio.gov</i><i> as soon as possible, or at least 48 hours prior to the above referenced testing or interview date so any necessary arrangements may be made in a timely manner.</i></p><p></p><b><br>
ADA Statement</b><p>
Ohio is a Disability Inclusion State and strives to be a model employer of individuals with disabilities. The State of Ohio is committed to providing access and inclusion and reasonable accommodation in its services, activities, programs and employment opportunities in accordance with the Americans with Disabilities Act (ADA) and other applicable laws.</p><b>
Drug-Free Workplace</b><p>
The State of Ohio is a drug-free workplace which prohibits the use of marijuana (recreational marijuana/non-medical cannabis). Please note, this position may be subject to additional restrictions pursuant to the State of Ohio Drug-Free Workplace Policy (HR-39), and as outlined in the posting.</p></div></div>

Data Analytics Specialist

Confidential

<p> </p><p><strong>Role Overview:</strong><br />Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop predictive and statistical models</li><li>Identify trends, anomalies, and optimization opportunities</li><li>Translate data insights into actionable strategies</li><li>Support deployment of analytics solutions</li></ul><p> </p><p><strong>Requirements:</strong></p><ul><li>Master’s or PhD in Data Science, AI, or related field</li><li>10–13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul>

Applied Analytics Specialist

University of Iowa

<div>
 The Office of Teaching, Learning &amp; Technology is seeking a Learning Analytics Specialist to expand our capacity for learning sciences research and learning analytics projects that support student learning.
 <br/>
 <br/>
 The Learning Analytics Specialist will support the instructional mission at the University of Iowa by analyzing institutional and student interaction data from learning technologies including generative AI tools to inform teaching practices, develop and evaluate interventions that promote student success, and support evidence-based decision making.
 <br/>
 <br/>
 This role will collaborate with campus partners to develop and assess data-informed instructional support services, conduct research on student learning, and communicate findings to faculty, staff, administrators, and other stakeholders. The Learning Analytics Specialist will provide consultation, training, and user support related to learning analytics tools, dashboards, and services, helping stakeholders interpret data and apply insights to improve teaching and learning.
 <br/>
 <br/>
 The ideal candidate will have a strong background in data management, statistical analysis, and learning sciences research, with demonstrated experience using R, Python, and machine learning techniques to transform and analyze complex datasets. The successful candidate will also possess strong communication, consultation, and stakeholder engagement skills, with the ability to translate analytical findings into actionable recommendations and support the adoption of data-informed practices across the university.
 <br/>
 <br/>
 This position is eligible for hybrid work within the state of Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually and must comply with the remote work program and related policies and employee travel policy when working at a remote location. There is an expectation that this individual be able to travel to Iowa City a minimum of 3-4 times per year.
 <br/>
 <br/>
 This position is not eligible for visa sponsorship for employment.
 <br/>
 <br/>
 For a full job description, please email Melanie Bell at melanie-bell@uiowa.edu.
 <br/>
 <br/>
 <strong>
  About IT Services
  <br/>
  <br/>
 </strong>
 Our mission is to create a welcoming and supportive work environment where everyone feels empowered to be their authentic selves and share ideas. We are committed to cultivating a welcoming and respectful workforce culture where people of all backgrounds and perspectives are empowered to make a positive impact. We embrace this commitment as mission-critical in everything we do and embed it in hiring, incentive, retention, and career-development practices and initiatives.
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in statistics or a related field, or an equivalent combination of education and additional related experience.
  </li>
  <li>
   Experience (typically 1 year or more) in data analytics projects, including research that incorporates data-informed interventions.
  </li>
  <li>
   Proficiency in R for data management, analysis, and visualization.
  </li>
  <li>
   Proficiency in SQL.
  </li>
  <li>
   Knowledge of various statistical analysis (e.g. descriptive statistics, conductive hypothesis tests, and using multiple linear regression and logistic regression to model outcomes.)
  </li>
  <li>
   Excellent written and verbal communication skills.
  </li>
  <li>
   Excellent interpersonal skills and demonstrated ability to work productively as part of a team.
  </li>
  <li>
   Strong organizational and project management skills, with the ability to coordinate multiple projects and meet deadlines.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirable Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of machine learning techniques and algorithms.
  </li>
  <li>
   Knowledge of Unizin Data Platform and Canvas.
  </li>
  <li>
   Knowledge of learning theory and its application in higher education settings.
  </li>
  <li>
   Knowledge of University policies, procedures, and regulations.
  </li>
  <li>
   Knowledge of methods used in educational data mining.
  </li>
  <li>
   Experience with a programming language such as Python.
  </li>
  <li>
   Ph.D. in Educational Evaluation, Statistics, or a related field.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Position And Application Details
  <br/>
  <br/>
 </strong>
 In order to be considered for an interview, applicants must upload the following documents and mark them as a &ldquo;Relevant File&rdquo; to the submission:
 <br/>
 <br/>
 <ul>
  <li>
   Resume
  </li>
  <li>
   Cover Letter
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.
 <br/>
 <br/>
 Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.
 <br/>
 <br/>
 For additional questions, please contact Melanie Bell at melanie-bell@uiowa.edu.
 <br/>
 <br/>
 There is an expectation that the person in this position will maintain effective, civil, and respectful working relationships with the University of Iowa campus community and uphold a high standard of cultural competency and respect for difference that represents our commitment to a welcoming and respectful work environment.
 <br/>
 <br/>
 Additional Information
 <br/>
 <br/>
 <ul>
  <li>
   Classification Title: Snr Business Intel Analyst
  </li>
  <li>
   Appointment Type: Professional and Scientific
  </li>
  <li>
   Schedule: Full-time
  </li>
  <li>
   Work Modality Options: On Campus, Hybrid within Iowa
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Pay Level: 4B
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Contact Information
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Information Technology Services
  </li>
  <li>
   Contact Name: Melanie Bell
  </li>
  <li>
   Contact Email: melanie-bell@uiowa.edu
  </li>
 </ul>
</div>


Learning Analytics Specialist

Wells Fargo

<div><p>At Wells Fargo, we want to satisfy our customers&rsquo; financial needs and help them succeed financially. We&rsquo;re looking for talented people who will put our customers at the center of everything we do.</p><p></p><p>
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.</p><p></p><p><b>
Wells Fargo Technology </b>sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo&rsquo;s more than 70 million global customers.</p><p></p><p>
Wells Fargo Bank N.A. seeks a <b>Lead Quantitative Analytics Specialist</b> in New York, NY.</p><p></p><p><b>
Job Role and Responsibility:
</b></p><p>Lead complex initiatives including creation, implementation, documentation, validation, articulation and defense, of highly statistical theory. Qualify monitor markets and forecast credit and operational risks. Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives. Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis. Review and assess models inclusive of technical, audit, and market perspectives. Identify structure and scope of review. Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models. Collaborate and consult with regulators and auditors. Present results of analysis and strategies. Design, develop, and deploy AI/ML models using state of the art techniques available in the open stack (Python/PySpark/PyTorch) and/or vendor solutions. Partner with LOB leads to frame the problem, explore various ML/DL model architectures and methodologies, generate required artifacts related to model development life cycle (MDLC), author the model development document, and deliver AI models that meet business needs. Adhere to corporate model risk policy and ensure compliance with model risk management. Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes. Work with AI technology and production teams to operationalize models. Work effectively in an agile project management methodologies for data science. Knowledge sharing with members of the team and across the organization on topics including machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms. Contribute to the CoE data science team's group effort to stay current with the cutting edge NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. Remote/telecommute work available, up to 2 days a week. Position required to appear in person at the location listed as the work address.</p><p></p><p><b>
Travel required:</b> 0%</p><p></p><p><b>
Required Qualifications</b>:</p><p></p><p><b>
Degree required: </b>Master's degree in Civil Engineering, Mathematics, Statistics, or related quantitative field.</p><p></p><p><b>
Amount and type of experience required: </b>Five (5) years of experience in the job offered or in a relation position involving quantitative analytics experience.</p><p></p><p><b>
Specific skills required:
</b></p><ul><li>Five (5) years of statistical modeling experience;</li><li>Experience with Machine Learning;</li><li>Experience with Natural Language Processing (NLP);</li><li>Experience with Python;</li><li>Experience with Spark;</li><li>Experience with SQL; and</li><li>Hadoop/Big Data experience.</li></ul><p></p><p>
Salary: $191,000 - $305,000</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$0.00 - $0.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
6 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Quantitative Analytics Specialist (#001756)

Confidential Careers

<div>
 <p>
  We are seeking a highly capable
  <strong>
   Power BI &amp; Data Analytics Specialist
  </strong>
  to design, develop, and maintain enterprise reporting, analytics, and data solutions.
 </p>
 <p>
  This role is ideal for a hands-on data and BI professional with strong experience across
  <strong>
   Microsoft Power BI, Microsoft Fabric, SQL, ETL/ELT development, Azure data services, and enterprise reporting platforms
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
  You will play a key role in building scalable reporting environments, developing robust data integration pipelines, and delivering actionable business insights to support strategic and operational decision-making
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   .
   <br/>
   Key Responsibiliti
  </strong>
 </p>
 <ul>
  <li>
   esDesign, develop, and maintain interactiv
   <strong>
    e Power BI dashboards, reports, and semantic mode
   </strong>
  </li>
  <li>
   lsBuild and maintain scalabl
   <strong>
    e data warehouses, lakehouses, and data mar
   </strong>
  </li>
  <li>
   tsDevelop and optimis
   <strong>
    e ETL / ELT pipelin
   </strong>
   es for data ingestion, transformation, and integrati
  </li>
  <li>
   onManage data extraction and integration fro
   <strong>
    m ERP and enterprise syste
   </strong>
   ms using APIs, data entities, and automated integration metho
  </li>
  <li>
   dsDevelop and maintai
   <strong>
    n Power Automate workflo
   </strong>
   ws for report distribution, alerts, approvals, and business process automati
  </li>
  <li>
   onAdministe
   <strong>
    r Power BI Gatewa
   </strong>
   ys, dataset refresh schedules, workspace security, and Row-Level Security (RL
  </li>
  <li>
   S)Monitor and optimise reporting performance, scalability, and reliabili
  </li>
  <li>
   tyImplement stron
   <strong>
    g data governance, security, and data quality standar
   </strong>
  </li>
  <li>
   dsCollaborate with business stakeholders to define KPIs, reporting requirements, and analytical solutio
  </li>
  <li>
   nsSupport executive reporting, operational analytics, and self-service BI initiativ
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   es
   <br/>
   Requireme
  </strong>
 </p>
 <ul>
  <li>
   ntsBachelor&rsquo;s Degree in Computer Science, Information Systems, Data Analytics, Engineering, or related fi
  </li>
  <li>
   eldMinim
   <strong>
    um 6 years of experie
   </strong>
   nce
   <strong>
    in Business Intelligence, Data Engineering, or Analyt
   </strong>
  </li>
  <li>
   icsStrong hands-on experience
  </li>
  <li>
   <strong>
    in:Microsoft Power
   </strong>
  </li>
  <li>
   <strong>
    BIMicrosoft Fab
   </strong>
  </li>
  <li>
   <strong>
    ricSQL Server / Advanced T-
   </strong>
  </li>
  <li>
   <strong>
    SQLData Warehous
   </strong>
  </li>
  <li>
   <strong>
    ingETL / ELT Developm
   </strong>
  </li>
  <li>
   <strong>
    entAzure Data Services / Azure Data Fact
   </strong>
  </li>
  <li>
   <strong>
    oryPower Autom
   </strong>
  </li>
  <li>
   <strong>
    ateData Modelling (Star Schema / Snowfla
   </strong>
  </li>
  <li>
   <strong>
    ke)API Integrat
   </strong>
  </li>
  <li>
   ionStrong experience with performance tuning, query optimisation, and data transformat
  </li>
  <li>
   ionExperience working wi
   <strong>
    th ERP platfo
   </strong>
   rms and enterprise-scale reporting environme
  </li>
  <li>
   ntsStrong analytical, problem-solving, and stakeholder management ski
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   lls
   <br/>
   Preferred Experi
  </strong>
 </p>
 <ul>
  <li>
   enceExperience w
   <strong>
    ith Dynamics 365 Finance &amp; Operations (D365 F&amp;am
   </strong>
   p;O) or similar ERP platf
  </li>
  <li>
   ormsExperience w
   <strong>
    ith Power BI Embe
   </strong>
   dded and embedded analytics solut
  </li>
  <li>
   ionsExposure to enterprise application hosting, reporting automation, and large-scale data platf
  </li>
 </ul>
 <p>
  <br/>
 </p>
 orms
</div>


Power BI & Data Analytics Specialist

VAROPreem

<div>
 <strong>
  Hours:
 </strong>
 Fulltime, 40 hours
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Rotterdam, The Netherlands
 <br/>
 <br/>
 <strong>
  The Position
  <br/>
  <br/>
 </strong>
 As Portfolio Risk Analytics Specialist, you will play a key role in the Risk Department by using your mathematical and coding skills to transform how we model our real-world business so that we can optimize how we hedge and mitigate risks.
 <br/>
 <br/>
 In this role you won&rsquo;t be working on daily reporting tasks but will spend your time conducting research projects to help us understand and model risks. You will then be expected to turn the results of this research into new analysis tools and models to support decision making and limit risks.
 <br/>
 <br/>
 Enhancements to existing VaR, Stress Test, and Expected Loss models are a starting point but we are keen to develop further quantitative models and enhance our understanding of statistical methodologies.
 <br/>
 <br/>
 You will become the owner of the risk models and the key point of contact for any non-linear risks such as options. Over time you will develop financial models for physical assets such as storage, freight, blending and refining.
 <br/>
 <br/>
 This is a unique and highly visible role with regular interaction with senior management, working directly with the VP Risk and EVP Trading. It offers huge learning opportunities and the ability to make a serious contribution in a fast-paced and evolving energy environment.
 <br/>
 <br/>
 <strong>
  Your Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Improving existing market risk models such as VaR, Stress Testing and Expected Loss under supervision of VP Head of Risk;
  </li>
  <li>
   Developing a statistical method for credit risk analysis to support a portfolio approach to risk management;
  </li>
  <li>
   Performing price time series analysis to calibrate the shocks needed for stress testing models, and to inform risk-reward based decision making;
  </li>
  <li>
   Back testing and refining these risk models to improve accuracy;
  </li>
  <li>
   Building tools to model physical assets such as storage using option theory;
  </li>
  <li>
   Advising on the appropriate use of options to hedge our assets and deals;
  </li>
  <li>
   Developing exposure reports to summarise our exposure to underlying risk factors;
  </li>
  <li>
   Advising on our data and analytics strategy and supporting application development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in maths, scientific, engineering, business, economics or data subject;
  </li>
  <li>
   Minimum of 5 years experience in a market risk or quantitative role in a finance or commodities business;
  </li>
  <li>
   Understanding of commodities futures and options markets and valuation;
  </li>
  <li>
   In-depth knowledge of risk methods such as VaR and Stress Testing;
  </li>
  <li>
   Ability to independently produce research into a topic and a model to analyse it;
  </li>
  <li>
   Coding skills such as SQL and Python;
  </li>
  <li>
   Understanding of FX and interest rate risks;
  </li>
  <li>
   Analytical and structured, with a strong attention to detail;
  </li>
  <li>
   A curious mindset, willing to ask questions and challenge assumptions.
  </li>
  <li>
   Reliable, accurate, and well-organised;
  </li>
  <li>
   Proactive, motivated, and a strong team player;
  </li>
  <li>
   Fluent in English, with strong communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirable experience
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   Experience working in the physical energy industry, with knowledge of physical trading, refining processes, energy logistics, asset modelling.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Offer
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   Understanding how and why markets move and explain these movements in terms of underlying fundamentals. You gain a great view of how physical commodities markets actually operate by working directly with those in the market;
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   Learning about biofuels, advanced feedstocks, coprocessing and other cutting edge emission reduction technologies. You make a real impact on carbon reduction;
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   Visibility of full value chain optimization of the fuels complex: from crude sourcing, refinery optimization, cargo exports, inland barge &amp; train logistics, biofuel blending, to customer fuel sales;
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   Producing novel research and analysis used to support decision making by VP Risk and other senior management. You are in a unique role supported directly by the VP Risk;
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   Your ideas, research and tools shape our future and you can make a direct impact on how we run our company;
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   An attractive workplace in the office in Rotterdam with development opportunities within an international, corporate environment;
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   Attractive salary structures, as well as a (partly) employer-financed pension and bike plan etc.;
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   Fun and supportive team environment that welcomes you to several social events.
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  </li>
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  Are you ready to take this exciting journey with us?
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 Then we look forward to receiving your application &ndash; simply click on the &ldquo;Apply now&rdquo; button to get started.
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 If you have any questions about this position, feel free to contact our recruiter, Sheila, at Sheila.Berens@varopreem.com.
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 Apply now
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  Would you like to learn more about our vision, mission and strategy?
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 You can find more information here.
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  What are the next steps?
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 Hiring with Homerun
</div>


Portfolio Risk Analytics Specialist

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.</p><p></p><p><br>
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.</p><p></p><p><br>
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about <b>our What and our Why</b> and how we can<b> </b>work<b> together</b>.</p><p></p><div><div><div><h2 class="jobSectionHeader"><b><br>
About Houston</b></h2></div><div><div><br>
</div><div><p>ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.</p><p></p><p><br>
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.</p><p></p><p><br>
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.</p><p></p><p><br>
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.</p><p></p><p><b><br>
Learn more about what we do in Houston </b><b>here.</b></p></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
What role you will play in our team</b></h2></div><p></p><div><p><br>
The Reservoir Analytics role will leverage advanced data science techniques and Reservoir Engineering experience to analyze, model and optimize the Midland Basin development program. This role will work closely with the integrated development team (Reservoir, Geoscience, Analysts, Leadership) to enhance development decision quality and efficiency through data-driven insights and workflows.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><div><p><br>
</p><ul><li>Own End to End analytics, including problem framing, data acquisition, workflow development, deployment and adoption into development process</li><li>
Apply advanced analytics techniques to inventory management, development plan optimization, and production surveillance &amp; optimization</li><li>
Design, develop, and institute automated workflows utilizing various technologies (Python, Databricks, ML)</li><li>
Identify and resolve analytics gaps in existing development process</li><li>
Mentor engineers/analysts within the team on data analytics</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
About you</b></h2></div><div><p><br>
</p><p><b>Skills and Qualifications</b></p><ul><li>
Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field.</li><li>
5+ years experience in a technical roll</li><li>
Upstream development experience</li><li>
Experience with Python, Databricks, core ML libraries, data engineering and ML Ops fundamentals</li></ul><p></p><p><b><br>
Preferred Qualifications/ Experience</b></p><ul><li>
Unconventional and/or Permian Basin development experience</li><li>
Upstream Subsurface or engineering experience with strong data and programming skills</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Your benefits</b></h2></div><div><p><br>
</p><p><b>An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.</b></p><p></p><p><b><br>
We offer you:</b></p><ul><li>
Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.</li><li>
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.</li><li>
Workplace Flexibility: We have several programs such as &ldquo;Flex your Day&rdquo;, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.</li><li>
Comprehensive medical, dental, and vision plans.</li><li>
Culture of Health: Programs and resources to support your wellbeing.</li><li>
Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.</li><li>
Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.</li></ul><p></p><p><br>
More information on our Company&rsquo;s benefits can be found at www.exxonmobilfamily.com.</p><p></p><p><br>
Please note benefits may be changed from time to time without notice, subject to applicable law.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Stay connected with us</b></h2></div><div><p><br>
</p><p>Learn more at our <b>website</b></p><p>
Follow us on<b> LinkedIN</b> and <b>Instagram</b></p><p>
Like us on <b>Facebook</b></p><p>
Subscribe our channel at <b>YouTube</b></p></div></div><div><div><h2 class="jobSectionHeader"><b>
Employee Equal Opportunity</b></h2></div><div><p><br>
</p><p><b>ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.</b></p></div></div></div><p></p><p><br>
Alternate Location:</p><p><br>
</p><p>Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.</p><p></p><p><br>
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</p><p></p><p><b><br>
Job ID: 106265</b></p></div>

Permian Development Analytics Specialist

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